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Titlebook: Analyzing Video Sequences of Multiple Humans; Tracking, Posture Es Jun Ohya,Akira Utsumi,Junji Yamato Book 2002 Springer Science+Business M

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期刊全稱Analyzing Video Sequences of Multiple Humans
期刊簡(jiǎn)稱Tracking, Posture Es
影響因子2023Jun Ohya,Akira Utsumi,Junji Yamato
視頻videohttp://file.papertrans.cn/157/156841/156841.mp4
學(xué)科分類The International Series in Video Computing
圖書封面Titlebook: Analyzing Video Sequences of Multiple Humans; Tracking, Posture Es Jun Ohya,Akira Utsumi,Junji Yamato Book 2002 Springer Science+Business M
影響因子.Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition. describes some computer vision-based methods that analyze video sequences of humans. More specifically, methods for tracking multiple humans in a scene, estimating postures of a human body in 3D in real-time, and recognizing a person‘s behavior (gestures or activities) are discussed. For the tracking algorithm, the authors developed a non-synchronous method that tracks multiple persons by exploiting a Kalman filter that is applied to multiple video sequences. For estimating postures, an algorithm is presented that locates the significant points which determine postures of a human body, in 3D in real-time. Human activities are recognized from a video sequence by the HMM (Hidden Markov Models)-based method that the authors pioneered. The effectiveness of the three methods is shown by experimental results..
Pindex Book 2002
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Conclusion and Future Work,This book presents multiple persons’ tracking, posture estimation, and behavior recognition as three core technologies in analyzing human images from video sequences. Each core technology is summarized as follows.
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Identity, problem-solving and autonomymes, human motions are measured and used for creating animations of the human body. In these applications, multiple sensing devices are attached to a human body so as to measure the movements in real-time. This contact type method is useful for fast measurement of motion data of many points on the s
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Disease and illness, perceptual perspectives human-human occlusions are significant problems. Employing multiple viewpoints reduces these problems. Furthermore, the use of the non-synchronous observation approach eliminates the scalability problem inherent in synchronous systems. In the system described in this chapter, each camera independen
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